AI Visibility
measured25/100
Emerging · in Construction Software
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals50/100
Some gaps
Avg Prompt Score
7
across 276 prompts
AI Share of Voice
7%
across 276 prompts
Critical Issues
6
critical + high
How AI Visibility breaks down
in Construction Software
Composite = 50% coverage + 30% engine breadth + 20% position, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Cited rate · share of voice · engine consensus · sentiment, broken out by buyer-journey stage. Sentiment is the net positive−negative skew across engines that cited the brand at this stage.
Archibus by Eptura is strongly recognized in AI for evaluation-stage “best IWMS” queries via its G2 presence (19 reviews, 4★) and credible enterprise positioning on the site. The biggest AI citation risk is conversion-stage and evaluation-stage specificity: the archibus.com homepage redirects to Eptura and there is no evidence (from crawlable search signals) of first-party, indexed “[Brand] vs IBM Maximo Real Estate and Facilities (formerly IBM TRIRIGA)” / pricing / SoftwareApplication structured data on archibus.com itself.
Based on audit of archibus.com · Aug 31, 2026